seismic performance in urban regions (spur) and prototype neesgrid implementation
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Seismic Performance in Urban Regions (SPUR) and Prototype NEESgrid Implementation. Roger L. King, Gregory L. Fenves, Jacobo Bielak, Tomasz Haupt Bozidar Stojadinovic, Joerg Meyer - PowerPoint PPT PresentationTRANSCRIPT
Seismic Performance in Urban Regions (SPUR) and
Prototype NEESgrid Implementation
Roger L. King, Gregory L. Fenves, Jacobo Bielak, Tomasz Haupt
Bozidar Stojadinovic, Joerg Meyer
Antonio Fernandez, Jaesung Park, Prashant Chopra, Koel Das, Aysegul Askan, George Petropoulos, A. Kalayanasundaram,
M. Khotournenko, A. Chilkuri, N. Ammari
NSF NEES Awardees MeetingSeptember 11-12, 2003
Outline of Presentation
• What is SPUR?• Value of simulation and integration• Structural performance• Earthquake ground motion modeling• Site response and soil-structure interaction• Visualization• SPURport – web portal and demo
An NSF ERC Problem-Centered Research Flow Process
SPUR, a Distributed Simulation Framework for Seismic Performance for Urban Regions
• Advance the state-of-the-art in simulating the effects of a major earthquake on an urban region.
• Integration of earthquake ground motion modeling with modeling of structural and infrastructure systems using advanced computational and visualization methods.
• The goal is to develop tools that will ultimately permit damage estimates based on best available information.
• Generalize discipline specific approach towards system-level research.
PBEE
SSFI
Basin Effects
Large Scale Viz
Fundamental Research• Computational seismology• SSI with DRM• PBEE Performance measures• Spatial distribution of performance• Large scale viz.
Enabling Technologies• Archimides• OpenSees• NEESgrid• System integration
Middleware
NEESHPC Resource
Viz
Systems-level Applications• Loss estimation• Tools for decision makers• Scenarios for planning
MicrozonationPlanning
Emerg. Resp.Education
Loss Estimate
SPUR Strategic Vision
Leveraging Existing NSF Research for System-Level Problems
ground motion data
(CMU)precomputed simulations
ground motion data
(CMU)precomputed simulations
rendering + portal(UCI) (MSU)
immersive rendering &web-based portal
rendering + portal(UCI) (MSU)
immersive rendering &web-based portal
structural performance
(PEER - Berkeley)precomputed or online
simulations
structural performance
(PEER - Berkeley)precomputed or online
simulations
SPURport: The Grid-Based Portal for SPUR
• Provide earthquake community with collaborative environment for research on Seismic Performance of Urban Regions and training of future earthquake engineers
• Develop NEESgrid application of databases, computation, visualization, using distributed Grid-accessible resources; demonstrate ability to use NEESgrid resources at any location
• Opportunity to apply NEESgrid software releases to a substantial application and provide NEESgrid developers feedback
• Add to simulation capability of NEES
Strike-Slip Fault Simulation ModelPeak Ground Displacement
Peak Ground Velocity
Thrust Fault Simulation ModelPeak Ground Displacement
Peak Ground Velocity
Structural Models for Regional Simulation
ObjectiveEvaluate regional distribution of Engineering Demand Parameters (EPD)SDF Model u
u
u
uu
u
u
u
Grid point
- “Hydra” model- Multiple parameters and multiple orientations- Constant strength analysis- Constant ductility analysis
Simulation Tool – OpenSees (PEER software framework for simulation)
Building Models
ShearBeamModel
GeneralizedFrameModel
BuildingModels
Constant Ductility Analysis for Strike Slip Fault
SAC 9-story OpenSees Model
Column Fiber Section
Beam Fiber Section
Leaning columnsfor P- effects
Distributed Plasticity Beam-Column
LA 10%/50 year
Regional Distribution of SAC 9-story EDP
Roof drift ratio
Max Plastic Rotation
Max Story Drift Ratio
PGV
Regional Distribution of SAC 20-story EDP
Max Plastic Rotation
Roof drift ratio
Max Story Drift Ratio
Story 22
Story 15
PGV
Calibration of Shear Beam Model
Pushover Analysis of Frame Model Shear Beam Model
Story Force-Deform.
Comparison of Floor Displacement
Generic Frame Model
Floor 1 Floor 2 Floor 3
Floor 1 Floor 2 Floor 3
Shear Beam Model
Regional Distribution of EDP, 3-Story
Roof Displacement
SAC Frame Model Shear Beam Model Generic Frame Model
SAC Frame Model Shear Beam Model Generic Frame Model
Max Story Drift
Computational Challenge
SAC 9-Story Simulation– 306 DOFS, 1800 time steps.
– Approx 4 min. per grid point.
– 25,281 grid points.
– 70 days in single processors.
Constant Ductility Analysis– 28 parameter combinations.– Considering 8 orientations.– 25,281 grid points.– 5 iterations in average.– One million non-linear analysis
of SDF system per parameter.
OpenSees Applications for Parallel Computing
Parallel simulation applications built with OpenSees API and MPI API can be implemented using NEESgrid resources.
Model Domain
Element Material Pattern
Analysis Solution Procedures
OpenSeesFramework
wake
Packaging Send output
wait
Un-packaging
Receive Ground Motion
Structure parameter
Slave Node
Job Queue
Wait Queue
Ground Motion Data
Recording output
Receive outputUn-packaging
SendGround Motion
Structure parameter
pack
agin
g
ProcessManage
Master Node
Producer-Consumer Approach
Northridge Earthquake Mainshock
(USGS)(USGS)
Rupture Model
Dep
th (
km
)
Wald et al. (1996)Wald et al. (1996)Strike=122 (S58E), Dip=40 (S32W), Rake=101Strike=122 (S58E), Dip=40 (S32W), Rake=101
USGSUSGS
Snapshots of Surface Velocity
Peak ground velocity Peak ground velocity ((USGS)USGS)
Wavelength-Adaptive Tetrahedral Mesh
(~ 100 million elements; 3 hrs)
Site Response - SSICross Section
Reduced Domain
Cascading (3 models)
Domain Reduction Method
Run on different platforms
Free-Field ResponsePeak values of displacement and velocity
Analysis Region
Observation Point(1280, 3000)
Observation Point
Velocity (m/s)
|FT|
Peak Ground Velocity in Region of Interest
Vm
ax
800 m/s
100 m/s
200 m/s 40 m
Spatial variability of ground motion
3D vs 1D
Random City Model
Alternatively, populate with sets of uniform buildings
Structural Models and Distributions
Influence of Different Structural Distributions On Maximum Ground
Velocity (EW)
Free-field 3 1.0-Hz Buildings R-City
Low period structures
Random City Simulation
High-end VisualizationNew Algorithms for Rendering:• Efficient 3-D mesh decimation• More efficient than edge-
collapse• Various levels of detail
TetFusion QTetFusion
SPURport Architecture
Tele-presence
NEESpop (middleware)
MSU extensions(Enterprise Computational System)
ApacheTomcat
JetSpeedChef
NEESgrid services
DBMS(postgress)
EJB container(JBoss)
OGSI(globus 3.0)
ECSapplicationstreaming
device driver
Data Controller
Data streaming andchannel management
Authentication andauthorization
SPURapplet
Request
Data
NSDS
Data andMetadata
Collaboration
ERCat Mississippi State PSC NCSA
OpenSees OpenSeesGround Motion
DataStruct. Resp.
Data
Ground MotionData
Front End
Back End
SPURport Functionality
EarthquakeModel
Inventoryof Structures
view data
extract data
StructureModel
select or definea structure
(set parameters)
select location
run simulation
select or definean inventory
run simulation (future)
view data view data
Earthquake Model
Structural Model
Inventory Model
Spatial Response Data
Individual Structure Response